Results 251 to 260 of about 141,420 (324)
Matrix Factorization: Nonnegativity, Sparsity and Independence
Vamsi K. Potluru
openalex +1 more source
This workflow presents a complete pipeline for audio data processing, beginning with format conversion, channel adjustments, and cleaning, followed by enhancement and visualization techniques. It further applies signal separation using FastICA, postprocessing, and evaluation metrics (SDR, SIR, SAR) to improve audio analysis and support future research ...
Md. Razu Ahmed +3 more
wiley +1 more source
Supervised Nonnegative Matrix Factorization to Predict ICU Mortality Risk. [PDF]
Chao G, Mao C, Wang F, Zhao Y, Luo Y.
europepmc +1 more source
ABSTRACT Classic Bayesian methods with complex environmental models are frequently infeasible due to an intractable likelihood. Simulation‐based inference methods, such as neural posterior estimation, calculate posteriors without accessing a likelihood function by leveraging the fact that data can be quickly simulated from the model, but converge ...
Elliot Maceda +3 more
wiley +1 more source
Multiple Partial Regularized Nonnegative Matrix Factorization for Predicting Ontological Functions of lncRNAs. [PDF]
Zhao J, Ma X.
europepmc +1 more source
Robust constrained weighted least squares for in vivo human cardiac diffusion kurtosis imaging
Abstract Purpose Cardiac diffusion tensor imaging (cDTI) can investigate the microstructure of heart tissue. At sufficiently high b‐values, additional information on microstructure can be observed, but the data require a representation such as diffusion kurtosis imaging (DKI).
Sam Coveney +6 more
wiley +1 more source
FTheoryTools: Advancing Computational Capabilities for F‐Theory Research
Abstract A primary goal of string phenomenology is to identify realistic four‐dimensional physics within the landscape of string theory solutions. In F‐theory, such solutions are encoded in the geometry of singular elliptic fibrations, whose study often requires particularly challenging and cumbersome computations.
Martin Bies +2 more
wiley +1 more source
An Entropic Explanation for Gutenberg‐Richter Scaling
Abstract We develop a simple explanation for Gutenberg‐Richter (G‐R) size scaling of earthquakes on a single fault. We discretize the fault and consider all possible contiguous ruptures at that level of discretization. In this static model, we assume that slip scales with rupture length, and that the rupture rates at each point along the fault are ...
M. T. Page, E. H. Field
wiley +1 more source

